ZipRecruiter

Log In

2

Math Grader Remote Jobs in Bellingham, WA (NOW HIRING)

All JobsMath Grader JobsMath Grader Remote JobsMath Grader Remote Jobs in Bellingham, WA

Math Grader Remote information

See Bellingham, WA salary details

$9

$17

$31

How much do math grader remote jobs pay per hour?

As of Jul 30, 2026, the average hourly pay for math grader remote in Bellingham, WA is $17.76, according to ZipRecruiter salary data. Most workers in this role earn between $11.97 and $21.01 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Math Grader (Remote), and why are they important?

To thrive as a remote Math Grader, you need a strong background in mathematics, attention to detail, and often at least a bachelor's degree in math or a related field. Familiarity with online grading platforms, learning management systems (LMS), and digital annotation tools is typically required. Excellent communication skills, time management, and the ability to provide constructive feedback set standout graders apart. These skills ensure accurate, timely, and helpful evaluations that support student learning and maintain academic standards.

What are Math Graders (Remote)?

Math Graders working remotely are professionals who evaluate and score students' mathematics assignments, quizzes, or exams from a distance, often using online platforms. Their main responsibility is to ensure accurate and fair assessment according to set rubrics or guidelines, providing feedback to help students understand their mistakes. Remote Math Graders may work for educational institutions, tutoring companies, or online learning platforms, and they typically need a strong background in mathematics and attention to detail. Communication with instructors or students may also be part of the role, as well as maintaining confidentiality and following academic integrity standards.

What are some common challenges faced by remote math graders, and how can they be managed?

Remote math graders often encounter challenges such as interpreting diverse handwriting styles, ensuring grading consistency across large batches, and managing time effectively without direct supervision. To address these issues, graders can utilize digital annotation tools, refer to detailed rubrics, and communicate regularly with the lead instructor or grading team. Staying organized and setting clear daily goals also helps maintain accuracy and efficiency in a remote environment.

What is the difference between Math Grader Remote vs Math Tutor Remote?

AspectMath Grader RemoteMath Tutor Remote
CredentialsTypically no formal certification required, but strong math skills preferredOften requires teaching credentials or experience, especially for advanced levels
Work EnvironmentRemote, often flexible hours, working with educational institutions or testing companiesRemote, interactive sessions with students, flexible scheduling
Employer & IndustryEducational institutions, testing companies, online education platformsOnline tutoring platforms, private clients, educational services
Search & Comparison IntentUnderstanding roles involving grading or assessment of math workSeeking personalized math instruction or tutoring services

Math Grader Remote primarily involves evaluating and scoring student work or exams remotely, often with minimal direct interaction. In contrast, Math Tutor Remote focuses on providing personalized instruction and support to students via online platforms. While both roles require strong math skills and are remote, they differ in responsibilities and interaction levels.

What are the most commonly searched types of Math Grader jobs in Bellingham, WA? The most popular types of Math Grader jobs in Bellingham, WA are:
What are popular job titles related to Math Grader Remote jobs in Bellingham, WA? For Math Grader Remote jobs in Bellingham, WA, the most frequently searched job titles are:
What job categories do people searching Math Grader Remote jobs in Bellingham, WA look for? The top searched job categories for Math Grader Remote jobs in Bellingham, WA are:
What cities near Bellingham, WA are hiring for Math Grader Remote jobs? Cities near Bellingham, WA with the most Math Grader Remote job openings:
Math Grader Remote jobs near you
Infographic showing various Math Grader Remote job openings in Bellingham, WA as of July 2026, with employment types broken down into 59% Full Time, 31% Part Time, 3% Temporary, and 7% Contract. Highlights an 100% Remote job distribution, with an average salary of $36,935 per year, or $17.8 per hour.

Data Scientist - Signal Processing Engineer (Acoustics)

Cutsforth, LLC

Ferndale, WA • Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 days ago

Job description

Role Information:
  • Job Title: Data Scientist - Signal Processing Engineer- (Acoustics)
  • Work Location: Fully remote position, home office
  • Employment Type: Full-time
  • Employment Status: Exempt, salaried
  • Visa sponsorship is not available for this position.
  • Must reside in the United States.
  • We are not accepting applicants for remote workers in California, Illinois, and New York at this time.
Compensation:
  • $98,837 - $175,000, depending on years of experience
Role Overview:Applies data science and machine learning to the analysis of electrical, vibration, and acoustic signals, transforming raw time-series sensor data into actionable diagnostics and predictive insights for rotating industrial equipment. Partners with engineering and domain experts to design and deploy production-grade signal processing and ML solutions for predictive maintenance across industrial applications. Operates effectively in ambiguous problem spaces where signal quality, environmental noise, and domain constraints require both technical rigor and adaptive thinking.
Key Responsibilities:
  • Design and develop signal processing pipelines and machine learning models that operate on electrical (current/voltage), vibration, and acoustic time-series sensor data, including symmetrical component analysis, matched filtering, wavelet decomposition, and time-frequency analysis techniques.
  • Evaluate algorithm performance using both objective metrics and subjective measures, including integration with speech recognition engines where applicable.
  • Perform exploratory data analysis, feature engineering, and signal feature extraction on raw electrical, vibration, and acoustic data to surface fault patterns and anomalies.
  • Analyze and interpret signals from electrical asset monitoring systems (motors, generators, pumps) utilizing electrical signature analysis, vibration analysis, and signal processing expertise to support fault isolation and anomaly detection.
  • Use cross-sensor asset monitoring data (temperature, speed, load) to characterize and validate signal-derived diagnostics.
  • Apply data-driven signal processing methods to characterize and isolate faults at the subsystem, component, and machine level, identifying root causes from spectral, electrical, and vibration sensor data in rotating industrial equipment.
  • Contribute to end-to-end ML workflows including data ingestion, model training, inference, and monitoring for drift and degradation in live environments.
  • Collaborate with engineering, product, and domain SMEs to translate operational challenges into well-scoped data science solutions.
  • Communicate findings, model performance, and business value clearly through visualizations, written documentation, and presentations to technical and non-technical stakeholders.
  • Explore and evaluate emerging signal processing and AI techniques, recommending production incorporation where appropriate.
Required Qualifications:
  • Bachelor’s degree in Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Acoustical Engineering, Mechanical Engineering, Aerospace Engineering, or a closely related engineering discipline required.
  • 5+ years of professional experience in data science, machine learning, or applied signal processing, with demonstrated work on electrical, current/voltage, or industrial sensor signal data.
  • Direct industry experience in one or more of: Industrial/Rotating Equipment, Power Systems, Electrical Machine Diagnostics, or Condition Monitoring.
  • Hands-on experience with time-series and signal processing techniques, including spectral analysis, filtering, and feature extraction from raw sensor data.
  • Proficiency in Python, including scientific computing libraries (NumPy, SciPy, pandas) and ML frameworks (scikit-learn, PyTorch, or TensorFlow).
  • Familiarity with electrical measurement and analysis workflows (e.g., current/voltage waveform capture, power quality analyzers, or equivalent instrumentation).
  • Strong analytical and problem-solving skills with the capacity to work through ambiguous or data-sparse problem spaces.
  • Excellent written and verbal communication skills; ability to present technical findings to non-technical audiences.
Preferred Qualifications:
  • Master’s degree in Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Data Science, or a related field.
  • Experience with Electrical Signature Analysis (ESA), Motor Current Signature Analysis (MCSA), or similar electrical machine diagnostic techniques.
  • Familiarity with rotating machinery fault physics (bearing fault frequencies, eccentricity, winding faults, broken rotor bars).
  • Demonstrated ability to own an ML model from prototype through production, including monitoring and retraining.
  • Familiarity with array/multi-sensor signal fusion across electrical and vibration domains.
  • Familiarity with cloud platforms (AWS, Azure, GCP) and MLOps tooling (MLflow, Docker, Airflow, CI/CD pipelines).
  • Experience with physics-informed modeling approaches.
  • Active participation in the broader signal processing or data science community through publications, open-source projects, or conference presentations.
Other Qualifications:
  • Successfully pass background check for cybersecurity site access.
  • Strong foundation in signal processing theory and application, including experience with electrical, acoustic, or time-series data in a professional setting.
  • Proficiency in Python for data manipulation, signal processing, and model development (NumPy, SciPy, pandas, scikit-learn, PyTorch or TensorFlow).
  • Ability to work with uncertainty and incomplete information; comfortable forming and testing hypotheses when ground truth is limited.
  • Clear communicator capable of translating technical signal processing and ML findings to non-specialist audiences.
  • Self-directed and effective working remotely across cross-functional teams.
  • Must reside in the United States; not accepting applicants in California, Illinois, or New York.
Cybersecurity Role Expectations:
  • Candidate will be responsible for reviewing policies and procedures related to cybersecurity and those relevant to the functions of their role.
  • Candidate is expected to maintain a cybersecure work environment.
Benefits:
  • Paid Time Off
  • Medical, Vision, Dental Insurance
  • Health Savings Account with Employer contributions
  • 401(k) with Employer match
  • Short-term & Long-term Disability Coverage
  • Accidental Death & Dismemberment Coverage
  • Life Insurance Coverage
  • Eight paid holidays per year
  • All other benefits required by applicable law

Alignment with Corporate Values

All Cutsforth employees are expected to perform their work in a manner that exhibits understanding and adherence to the Company Mission and Core Attributes of Cutsforth Employees. Employees in management roles must exhibit continual improvement along Cutsforth’s Leadership Traits. Further, each employee must read and adhere to corporate policies and safety protocols.

  • Learn more about Cutsforth here, including our Mission & Values: Cutsforth.com/About

Equal Employment Opportunity Statement:

Cutsforth will not discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, or national origin. Cutsforth will take affirmative action to ensure that applicants are employed, and that employees are treated during employment, without regard to their race, color, religion, sex, sexual orientation, gender identity, or national origin. Such action shall include, but not be limited to the following: Employment, upgrading, demotion, or transfer, recruitment or recruitment advertising; layoff or termination; rates of pay or other forms of compensation; and selection for training, including apprenticeship. Cutsforth agrees to post in conspicuous places, available to employees and applicants for employment, notices to be provided by the provisions of this nondiscrimination clause.

For Cutsforth's full Equal Employment Opportunity Policy, click here: EEO Notice to Employees & Applicants

California Privacy Notice:
If you are a California resident, please review our California Job Applicant Privacy Policy for details regarding the personal information we collect during the hiring process, how we use it, and your rights under the CCPA. By submitting your application, you acknowledge that you have read and understand our privacy practices.
For Cutsforth's full CCPA Privacy Policy, click here CCPA: California Privacy Notice to Applicants

Washington State Fair Chance Act:

Cutsforth considers all qualified applicants, including those with criminal histories, in accordance with the Washington State Fair Chance Act. We do not automatically exclude applicants because of a criminal record. Any criminal background check occurs only after a conditional offer of employment, and any resulting decision is based on an individualized assessment of the record's relationship to the specific job.

Learn more about your rights and our process here: Fair Chance Act

Powered by JazzHR

a3odApM0OB